"BOWLBasic"Results for a single step of the BOWL algorithm for a subset of data with binary treatment options and no subsets for propensity modeling.
Objects can be created by calls of the form new("BOWLBasic", ...).
These objects are for convenience in package development
and should not be created by users.
optTx:Object of class "numeric."
Estimated optimal treatment for training data.
Coded as +1.0/-1.0 independent of
notation provided in original data.
estVal:Object of class "numeric."
Estimated value of regime for training data.
regime:Object of class "formula."
Formula description of covariates used in
kernel.
crossValidation:Object of class "CVInfoOrNULL."
Cross-validation results for training data.
optim:Object of class "OWLOptim."
Optimization results.
decisionFunc:Object of class "numeric."
Estimated decision function for origina data.
signature(object = "BOWLBasic"):
Retrieve cross-validation matrix.
signature(object = "BOWLBasic"):
Retrieve optimization results.
signature(x = "BOWLBasic", newdata = "missing"):
Retrieve estimated optimal treatment for training data.
Method is not exported.
signature(x = "BOWLBasic", newdata = "data.frame"):
Estimate optimal treatment for newdata. Method is not exported.
signature(x = "BOWLBasic"):
Print key results of method.
signature(object = "BOWLBasic"):
Retrieve parameter estimates for decision function.
signature(object = "BOWLBasic"):
Show key results of method.
signature(object = "BOWLBasic"):
Retrieve key summary information of method.
# NOT RUN {
showClass("BOWLBasic")
# }
Run the code above in your browser using DataLab